Analytical Chemistry – Spectroscopy

Multivariate methods are widely used in spectroscopic calibration where all the wavelengths in a spectrum are used to predict the concentration of species. The advantages of multivariate methods are the ability to handle more than one analyte at a time plus increased stability and sensitivity of the models produced. Principal Component Analysis (PCA) methods have been used to characterise columns, solvents and reagents in the analytical lab to enable rational choice of products.

For more detailed information, see application note "Spectroscopic Calibration".